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- Pythonを使った数値計算入門: 数論から円周率、分子の拡散まで 近代科学社Digita...
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135938881
Pythonを使った数値計算入門: 数論から円周率、分子の拡散まで 近代科学社Digital
89% of respondents would recommend this to a friend
Item #:
135938881
INR 2843
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What Stands Out
Comprehensive Coverage
This book thoroughly explores numerical calculations, addressing both foundational number theory and advanced applications in fields like molecular diffusion, catering to learners at various skill levels.
Practical Examples
Includes practical examples and exercises that enhance understanding, allowing readers to apply Python programming effectively in real-world scientific scenarios, particularly in physics and chemistry.
Future-Proof Content
Published in 2025, this title incorporates the latest numerical methods and trends in Python programming, ensuring that readers stay updated with contemporary practices in scientific computing.
Product Details
| Publisher | u8fd1u4ee3u79d1u5b66u793e |
| Publication date | March 24, 2025 |
| Language | Japanese |
| Print length | 228 pages |
| ISBN-10 | 4764907240 |
| ISBN-13 | 978-4764907249 |
| Item Weight | 460 g |
| Dimensions | 7.17 x 0.59 x 10.12 inches (18.2 x 1.5 x 25.7 cm) |
Who Should Buy?
-
Aspiring Programmers
Ideal for beginners learning Python and its applications in numerical calculations and mathematical concepts.
-
Educators and Students
Useful for academic purposes, enhancing understanding of number theory, molecular diffusion, and practical coding skills.
-
Data Science Enthusiasts
Great for individuals interested in applying Python in data analysis, simulations, and scientific computing.
-
Advanced Programmers
Not suitable for experts looking for advanced techniques or specialized topics beyond basic numerical calculations.
Product Description
Pythonを使った数値計算入門: 数論から円周率、分子の拡散まで 近代科学社Digital
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岡本 久 , 柳澤 優香 Format: Tankobon Hardcover Theoretical Computer Science Editorial Review
**** The book "Pythonを使った数値計算入門" provides a thorough introduction to Python basics in its early chapters, allowing readers to comfortably build their programming foundation. However, as the content transitions to more complex topics, some readers find themselves challenged. While certain sections elicit intrigue, like the exploration of mathematical concepts such as the cloisonné curve, users report a disconnect between their expectations and the book's content. Specifically, there seems to be confusion surrounding the book's promise of in-depth algorithm explanations, which, for some, turned out to be more about library usage rather than comprehensive algorithmic insights. The review highlights that while the initial chapters are beneficial for beginners, the latter parts may require a more advanced understanding of the subject matter. Readers who approach the book with specific interests in advanced mathematical concepts might find it lacking, leading to a sense of disappointment. Despite these mixed feelings, there are notable benefits in applying the learned concepts to real-world problems, as expressed by readers who appreciate the practical application of the material. **
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Pros
- Strong foundation in Python basics provided in initial chapters.
- Useful for readers interested in applying Python to mathematical problems.
- Practical applications discussed, enhancing real-world understanding of concepts.
Cons
- Advanced topics may be too challenging for some readers.
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